Geology 240
Lab #3
Dry Sieving - Grain size analysis
Objectives
The purpose of this lab is to determine the grain size distribution and texture of an
unconsolidated sediment sample. We will use a standard sieve set, a Ro-tap automatic shaker
and graphical methods of data analysis. We will also examine the sample using a dissecting
microscope, and compare our sieve results to the visual analysis. This lab has two major
objectives: to introduce Geol 103 students to grain size analysis, and to set the standards for data
presentation in a technical report.
Methods
Samples should be oven-dried (at about 60 C) and free of large twigs, leaves or other
organic debris. Take 25-30 grams of dried sample, weigh the sample carefully, and record the
initial weight. Assemble the sieve stack with largest mesh spacings on the top, progressively
smaller mesh spacings downward, and a pan on the bottom. Pour the sample in the top sieve,
Ro-tap for 20 minutes, and record the weight retained in each pan. We will weigh by difference,
so first record the weight of the weighing paper or weighing tray. Then record the gross weight
(weighing paper + sand retained) and finally subtract the paper weight from the gross weight to
obtain the net sample weight retained.
When you are ready to plot your data you will use a spreadsheet that is posted on the
Geos 240 web page. This spreadsheet will calculate the individual weight percent for each sand
fraction by dividing the fraction weight by the total weight retained. The spreadsheet will also
calculate cumulative weight percent for the entire sand sample by adding the individual weight
percents. There are tabs for a data table, a cumulative frequency graph and a histogram that
you will present in your report.
Calculations
Part of your assignment is to determine the mean, median, sorting and skewness of the
sample. We will construct a data table, a grain size histogram, and an arithmetic cumulative
frequency diagram to make these calculations. You will be able to read the mode from your
histogram. When you have constructed the cumulative frequency diagram, you will be able to
read values for φ5, φ16 , φ50, φ84 and φ95 from this curve. These values are then substituted into
the equations below to determine the graphic mean, median, inclusive graphic standard deviation
(sorting) and inclusive graphic skewness (skewness) for your sand sample. Formulas for these
measures are given below:
Graphic Mean (Mz) = (φ16 + φ50 + φ84)
3
Median = φ50 from the cumulative frequency curve
Inclusive graphic standard deviation" σi (sigma) = (φ84 - φ16) + (φ95 - φ5)
4
6.6
Inclusive graphic skewness SKi = (φ84 + φ16 - 2φ50) + (φ95 + φ5 - 2φ50)
2 (φ84 - φ16)
2 (φ95 - φ5 )
2
Activities
We will complete these activities during lab:
 Listen to a brief lecture about grain size and sieves.
 Look at examples of roundness and sorting using a binocular microscope. I will
provide the samples, and they will be available for the next week if you want to look at
them again.
 Look at your unknown sample using a binocular microscope. Describe the
roundness and the sorting of the sample using this visual method.
 Sieve your unknown sand sample with the rotap machine, and enter the weights for
each fraction in the worksheet attached to this lab handout. Each lab will sieve one
sample, and we will share the results.
Interpretation
Engineering geologists and engineers use grain size analysis for site evaluations, building
and roadway construction, well construction and to evaluate slope stability. This is the most
common use of grain size analysis. These professionals use the d50 value as a quick reference
for grain size of a sample, and sometimes calculate the mean, median, mode, sorting or
skewness of a sample using the equations from the last section.
Other geologists have attempted to use grain size data to interpret the environment of
deposition for a sample. Some environmental interpretations are obvious: dunes and beaches
contain well sorted sediment, river sediment is moderately sorted, and glacial sediment is poorly
sorted. The problem with environmental interpretations is the overlap between different
environments. Many environments produce sediment with similar textural properties.
Sedimentary grains become more rounded as they move farther from the source, so
roundness may also provide environmental information. One complication with this approach is
that different minerals have different resistance to weathering. A quartz grain may be
transported 100’s or 1000’s of kilometers before it becomes rounded, while a volcanic rock
fragment may be rounded within a few kilometers.
A good discussion of the uses of grain size data and textures for environmental
interpretations is included in your textbook. For additional information you may also want to look
at Friedman and Sanders (1978), Blatt, Middleton and Murray (1980), Boggs (1987) and
Friedman, Sanders and Kopaska-Merkel (1992). Copies of these references are on the back
table in the lab room (Placer Hall 1006).
References
Blatt, H., Middleton, G, and Murray, R., 1980, Origin of sedimentary rocks, Englewood Cliffs,
Prentice Hall, 782 p.
Boggs, S., 1987, Principles of sedimentology and stratigraphy, New York, Macmillan,
784 p.
Friedman, G. M., and Sanders, J. E., 1978, Principles of sedimentology, New York,
792 p.
Friedman, G. M., Sanders, J. E., and Kopaska-Merkel, D. C., 1992, Principles of sedimentary
deposits, New York, Macmillan, 717 p.
3
What to turn in
You will turn in a lab report at the beginning of next week’s lab. The lab report should use
complete sentences and technical writing style. This means you should keep things brief and to
the point. Don’t guess, speculate or use emotional terms. Avoid personal reference. Your
report should be word processed and double spaced, with 1” margins. Use a “normal” 11 or 12
point font. You do not need to use extra references for this report. Use your own words to
describe the activities and results- avoid quotations.
Your report should have these headings:

Introduction and purpose
Use several concise sentences to describe the purpose of the lab.

Methods
Write a brief paragraph that describes the approach. You do not need to provide
detailed instructions- an overview of the methods will be sufficient.

Results
Give a brief overview of the results in paragraph form. Refer to the data table,
histogram and cumulative frequency curve. Example: “The sample has more
fine material than coarse material (Figure 1).” Every table or figure must have a
reference in the text that is similar to this example.
Include a data table, histogram and cumulative frequency curve in the results
section of your report. See examples in this handout.
Include results of your calculations: mean, median, mode, standard deviation
(sorting) and skewness. You may do this in table form. If you include
calculations, these calculations may be done by hand. Hand calculations should
be on a separate sheet at the end of the report. Refer to this as an appendix.
(“See Appendix A”).
Include a brief visual description of the sample (from the binocular microscope).
Describe the roundness and sorting of the sample.
 Discussion
Include a brief discussion with your report. What can you say about the grain size
and texture of the sample? Highlight the important findings of your sieve analysis
and visual analysis. Mention the error. Do these methods agree with each
other? Can you make any environmental interpretations?
Sieve Analysis Data Sheet
Sample name: ______________________________
Date: _________
Method: ____________ minutes shaking on the Ro-tap machine (normally 20 minutes)
Initial weight of whole sample: __________ gm (normally 25 to 35 grams of dry sand)
Screen
size
(phi units)
Gross
weight
Weighing
paper
weight
Net
sample
weight
retained
Individual
weight
percent
Cumulative
Percent
pan
Total weight retained: _____________
Difference between initial weight of sample and total weight retained: _____________
Percent error:
(weight difference x 100) = _____________%
total weight retained
Note:
Gross weight = weighing paper weight + sample weight
Weighing paper weight = weight of the empty, dry paper
Net sample weight = gross weight - weighing paper weight
Total weight retained = sum of all individual sample weights
Individual weight percent = (net sample weight) x 100
(total weight retained)
Cumulative weight percent =
(sum of weights of all previous (larger) sand fractions)
+ (weight of current sand fraction)
Sample Figure
Cumulative Frequency Distribution of Sand #17
100
Cumulative Weight Percent
90
phi 95
phi 84
80
70
60
50
phi 50
40
30
20
phi 16
10
phi 5
0
> -3.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
pan
phi Scale
Figure 2: Cumulative frequency distribution of unknown sand sample number 17. This sample is
moderately sorted.
Points to note:





Center the figure
Use “normal” fonts- similar to the fonts in your report, no larger than 12 or 14 point.
Every graph should have a title and axis should have labels. Titles and axis labels
should have the largest fonts. Fonts should decrease in size according to the
importance of the object.
Minimize the use of bold.
Include a figure caption. Left-justify the figure caption. Describe the key point(s) of
the figure in the caption.
Sample Table
Screen
size (phi
units)
Gross
Weight
(gms)
Weighing
Paper
Weight
(gms)
Net
Sample
Weight
Retained
(gms)
Individual
Weight
percent
Cumulative
Weight
percent
> -3.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
pan
5.34
6.18
8.69
10.05
11.68
9.08
6.45
5.56
5.52
5.34
5.32
5.36
5.43
5.37
5.36
5.30
5.46
5.46
Total:
0.00
0.86
3.33
4.62
6.31
3.72
1.15
0.10
0.06
20.15
0.00
4.27
16.53
22.93
31.32
18.46
5.71
0.50
0.30
100.00
0.00
4.27
20.79
43.72
75.04
93.50
99.21
99.70
100.00
Table 1: Raw data from the sieve analysis of unknown sand sample 17.
Points to note:





Center the table.
Use “normal” fonts- similar to the fonts in your report, no larger than 12 or 14 point.
Every column in the table should have a title. Include units in the title when
appropriate. Column titles and row labels should be distinct. Fonts should decrease
in size according to the importance of the object.
Minimize the use of bold.
Include a table caption. Left-justify the table caption. Describe the key point(s) of
the table in the caption.